Four pillars of services, covering every phase of the work. One
accountable firm from the first workshop to the last handover.
/01
Learn
Where most client relationships start. Assessments, strategy, roadmaps, and the workshop that anchors the work. Ends with a practitioner-led recommendation you can act on.
Workshop and Rapid Assessment
Two to four weeks. A practitioner-led diagnostic of your environment with a clear go or no-go recommendation at the end.
Digital Transformation Strategy and Roadmapping
A multi-phase plan built around your operation, your data, and your people. Sequenced for value, not for theoretical maturity curves.
Technology Assessments and Readiness (IT/OT, AI, Digital Maturity)
What you have, what you need, what gets you there. Scored against operational reality, not vendor benchmarks.
Software Buy vs. Build Analysis
A candid comparison of packaged platforms, custom builds, and hybrid approaches. Grounded in what your operation actually requires to run.
Business Analysis and Process Design
Current-state mapping and future-state design, led by practitioners who have run the process themselves.
Process Optimization and Continuous Improvement
Lean-informed redesign of the workflows that underpin your operation. Measured before and measured after.
/02
Implement
Where mode40 builds. MES deployment, custom software, machine connectivity, and the integration work that connects every system to every other. Ends with a platform running in production.
MES Implementation (MAST or custom)
Full deployment of MAST or a custom-built alternative. Configured for your environment. Live in production in weeks.
Data Collection and Industrial Integration (PLC, SCADA, IoT)
Reach data from floor systems that were never designed to share it. Practitioner-led extraction across protocols and vendors.
Machine Connectivity and Engineering Services
Connect legacy equipment to modern systems without rip-and-replace. Engineering-grade integration, delivered in the field.
ERP and Enterprise Systems Integration
Bidirectional data flow between your ERP and the operational layer. SAP, Oracle, Epicor, Infor, IFS, Quantum, and more.
Custom Software Development
Purpose-built software for problems the market has not solved. Shipped on the same core architecture as MAST.
Modular Architecture and Flexible API Design
Systems designed for the next ten years of change, not just the next six months. Modular by default. API-first.
Paperless Project Implementation
Retire the clipboard. Digitize the workflows your operators have been doing by hand. Preserve what was working. Fix what was not.
/03
Automate
Where intelligence gets layered on. Dashboards, predictive models, agentic AI, and the reporting layer your current stack cannot produce. Ends with intelligence working against your operational data.
Data Analytics, Dashboarding and Reporting (OEE, KPIs)
Real-time views into the metrics that drive your operation. Not the metrics a vendor made easy to display.
AI Development and Implementation
Agentic AI purpose-trained on your data, your workflows, and your industry's constraints. Not a generic LLM wrapper.
Real Time Monitoring and Operational Control
Production data surfaced as it happens. Alerts before problems reach the customer.
Machine Learning and Predictive Analytics
Pattern detection and forecasting built from your historical operational data. Calibrated to your environment.
Digital Twin Technology
A virtual model of your operation for simulation, optimization, and training. Updated continuously from live production.
Agentic AI Systems
AI that takes action, not just answers questions. Grounded in your operational data and constraints.
Plant Floor Data Extraction and Visualization
Data from machines, sensors, and operators unified into one visible layer. Role-specific views for every person who needs one.
AI Education and Enablement
Team training and hands-on enablement for AI tools in operational context. Not a certificate. A working capability.
Track and Trace / Genealogy
Full part genealogy, lot tracking, and material certification chains. Audit-ready from day one.
/04
Enable
Keeping the value compounding after go-live. Training, staff augmentation, continuous improvement, and the infrastructure work that holds the whole stack up. Ends with your team running the platform independently.
Staff Augmentation
mode40 practitioners embedded into your team for defined engagements. Operators, analysts, engineers, product leads. Not placed heads in seats.
Training and Enablement
Adoption engineered, not just rolled out. Built around how your people actually learn on the job.
Hybrid Product and Services Model
The software plus the team to make it work. One contract. One accountable relationship.
Lean Principles Based Operational Design
Process and system design grounded in lean operational principles and real production constraints.
IT/OT Infrastructure and Cybersecurity
Secure, resilient infrastructure across the business-operations boundary. Designed for the realities of regulated industries.
Three common engagement shapes:
Shape 1
Workshop → scoped implementation → targeted analytics → embedded enablement.
Typical timeline: two to four weeks of workshop, six to twelve weeks of implementation, ongoing analytics and enablement.
Shape 2
Skip the workshop. You already know what you need. Integration and Implementation starts the relationship. Analytics and enablement follow.
Typical timeline: six to twelve weeks of implementation, followed by sustained engagement.
Shape 3
You have the data. You have the systems. You need the intelligence layer. Data, Analytics and AI leads, with enablement wrapping around it.
Typical timeline: four to eight weeks for first agentic capabilities in production, iterative from there.
